Data-Based RC Dynamic Modelling to Assessing the In-Situ Thermal Performance of Buildings. Analysis of Several Key Aspects in a Simplified Reference Case toward the Application at On-Board Monitoring Level

Yessenia Olazo-Gómez, Héctor Herrada, Sergio Castaño, Jesús Arce, Jesús P. Xamán and María José Jiménez
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Yessenia Olazo-Gómez: Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico
Héctor Herrada: Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain
Sergio Castaño: Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain
Jesús Arce: Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico
Jesús P. Xamán: Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico
María José Jiménez: Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain

Energies, 2020, vol. 13, issue 18, 1-30

Abstract: This paper reports the application of RC dynamic models for assessing thermal performance of buildings from in-situ tests (obtaining the U value for the walls, and the UA value and gA value for the whole buildings). The following aspects which are relevant to this approach have been systematically analyzed: The effect of the solar radiation on the heat flux through the opaque walls versus the performance of the models including this effect, the optimum number of nodes required to represent the thermal systems, the assignment of inputs and outputs and the length of the test period. Additionally, several options modelling relevant effects using unmeasured variables were studied to evaluate the feasibility to reduce the cost and intrusiveness of the measurement devices required to obtain accurate results. Data series recorded under different experimental conditions were considered to analyze the robustness and validity of the results. The performance of the models for each of these different test conditions is discussed. The uncertainties estimated using the described method for the U values of the opaque walls, and the UA and gA values of the whole building, are, respectively, 2.8%, 4.2% and 2.3%. The feasibility to model relevant effects using unmeasured variables has been demonstrated. A simplified and well-known building has been used as a case study, reinforcing and complementing the validation criteria.

Keywords: building energy performance; building envelope; outdoor testing; in-situ tests; thermal parameters; performance indicators; dynamic analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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